ML Web App with Explainability using Gradio 📊📈📱| Python Tutorial

Hello, My name is Sunny Solanki and in this video tutorial, I explain how to build an ML web app using the Python library "Gradio". We create an app to solve classification task. In the tutorial, we train a random forest classifier on the Wine dataset from sklearn to predict wine type. The app uses a trained model to predict wine type based on the values of ingredients provided by the user through various widgets. The app also displays feature contributions to prediction. The tutorial is a good starting point for someone who wants to build ML apps.

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hey ! hello! is it posible to do the same with a voice conversion model like so-vits-svc o rvc? thanks